Project Grant 2012993

This SBIR Phase I project, awarded by the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to develop an innovative AI-driven platform for interactive language learning designed for young children. The $303,226 award will fund the creation of a personalized, adaptive solution that uses phoneme recognition and learning algorithms to track, assess, and respond to the individual language progress of each child. The platform is designed...

This SBIR Phase II Cooperative Agreement, awarded by the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program, provides $1,247,426 to One Spot Learning, Inc. (UEI: S776NHPLV3E7) for the development of a holistic system that uses artificial intelligence and natural language processing to analyze qualitative student work such as essays, assignments, and lab reports. The goal is to transform how educators access actionable insights on student learning...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) project aims to develop a universal natural language processing (NLP) model designed specifically for low-resourced languages. The primary technical objective is to create an NLP model capable of handling unique linguistic features, leveraging limited data, and incorporating cultural and contextual nuances to reduce language barriers and increase...

This $305,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a novel AI framework that integrates algorithmic logical reasoning with machine learning to enhance the analysis of unstructured enterprise data. The project seeks to transform knowledge work by improving how businesses analyze and act on unstructured information like documents, emails, and reports. The...

This National Science Foundation Project Grant of $275,000 supports Applied Sentience Inc. to develop proactive personal artificial intelligence assistants with contextual awareness and social intelligence. Funded through the NSF Technology, Innovation, and Partnerships program, this Phase I Small Business Innovation Research award will advance fundamental scientific understanding of enabling AI agents to understand users' lives and predict their needs. Applied Sentience will create hybrid...

Contextualize, LLC received a $255,964 Project Grant award from the National Science Foundation Division of Industrial Innovation on August 1, 2021 for a project titled "SBIR PHASE I: AGENT-BASED IDENTIFICATION OF CONSTITUTIVE RELATIONSHIPS FROM LARGE MANUFACTURING DATASETS." The project aims to develop agent-based techniques to identify constitutive relationships within large manufacturing datasets. This work supports the NSF Directorate for Engineering's goal of improving innovation,...

This National Science Foundation (NSF) Project Grant award for $175,000 supports research by Calvin University to develop interactive natural language technology to help writers structure and revise documents. The project, funded under NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to create features that can be integrated into word processing applications to assist writers in organizing their thoughts and structuring their writing. The research team will...

This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I project award of $222,489 aims to develop an accessibility interface technology to improve software usability for the approximately 61 million Americans living with disabilities. The proposed solution will enable end-users to access up to 80% of commercially-available software, while also providing software distributors a low-cost method to fulfill accessibility mandates and increase product usage and...

This SBIR Phase I Project Grant, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop new artificial intelligence (AI) models with human-like causal understanding and reasoning capabilities. The $304,929 project, conducted by Causalit LLC, is intended to create a methodology for developing AI models that can comprehend and utilize formal causal logic to overcome the limitations of existing statistically-based...

The National Science Foundation (NSF) awarded a $275,000 Small Business Innovation Research (SBIR) Phase I Project Grant to Artimatic Technologies, Inc. to develop artificial intelligence (AI) technology for automated 3D content creation. The goal is to create tools that enable experienced animators to rapidly produce high-quality 3D content and allow novices to create engaging 3D graphics without extensive technical training. The project will utilize deep neural networks to generate 3D models...